Evidence map›Paper›PMID 32724063›Full record

ArticleScientific reports2020

Evaluation and modeling of direct membrane-feeding assay with Plasmodium vivax to support development of transmission blocking vaccines.

Kazutoyo Miura, Bruce J Swihart, Michael P Fay, Chalermpon Kumpitak, Kirakorn Kiattibutr, Jetsumon Sattabongkot, Carole A Long

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Evaluation of the transmission-blocking potential ofFrontiers in cellular and infection microbiology · 2025
    Article
  4. Malaria vaccines: a new era of prevention and control.Nature reviews. Microbiology · 2024
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Immunogenicity and transmission-blocking potential of quiescin sulfhydryl oxidase inFrontiers in cellular and infection microbiology · 2024
    Article
  10. Article
  11. Novel systems to study vector-pathogen interactions in malaria.Frontiers in cellular and infection microbiology · 2023
    Review
  12. The activity of methylene blue against asexual and sexual stages ofFrontiers in cellular and infection microbiology · 2023
    Article
  13. Using qPCR to compare the detection ofFrontiers in parasitology · 2023
    Article
  14. A NovelAntimicrobial agents and chemotherapy · 2022
    Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kazutoyo Miura *Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, 12735 Twinbrook Parkway, Rockville, MD, 20852, USA. kmiura@niaid.nih.gov.
Bruce J Swihart *Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.
Michael P FayBiostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.
Chalermpon KumpitakMahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Kirakorn KiattibutrMahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Jetsumon SattabongkotMahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Carole A LongLaboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, 12735 Twinbrook Parkway, Rockville, MD, 20852, USA.

Funding

Host Immune Responses to Antigens of Malaria ParasitesZIAAI001020 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI LONG, CAROLE · 2009 to 2025
$13.6M
6 · The paper itself

Abstract

Standard and direct membrane-feeding assays (SMFA and DMFA) are fundamental assays to evaluate efficacy of transmission-blocking intervention (TBI) candidates against Plasmodium falciparum and vivax. To compare different candidates precisely, it is crucial to understand the error range of measured activity, usually expressed as percent inhibition in either oocyst intensity (% transmission reducing activity, %TRA), or in prevalence of infected mosquitoes (% transmission blocking activity, %TBA). To this end, mathematical models have been proposed for P. falciparum SMFA (PfSMFA), but such study for DMFA is limited. In this study, we analyzed P. vivax DMFA (PvDMFA) data from 22,236 mosquitoes tested from 96 independent assays. While the two assays are quite different, a zero-inflated negative binomial (ZINB) model could reasonably explain the PvDMFA results, as it has for PfSMFA. Our simulation studies based on the ZINB model revealed it is better to report %TRA values with a proper error range, rather than observed %TBA both in SMFA and DMFA. Furthermore, the simulations help in designing a better assay and aid in estimating an error range of a %TRA value when the uncertainty is not reported. This study strongly supports future TBI development by providing a rational method to compare different candidates.

Indexed as

AnimalsAnophelesBiological AssayFeeding BehaviorHumansMalaria, FalciparumMalaria VaccinesMalaria, VivaxModels, StatisticalPlasmodium falciparumPlasmodium vivaxProtozoan ProteinsMalaria VaccinesProtozoan Proteins

Identifiers

PMID32724063
PMCPMC7387523

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.